






'''simple docstring'''







import collections
import os
import re
from pathlib import Path


__lowerCAmelCase        =							"src/transformers"


# Matches is_xxx_available()
__lowerCAmelCase        =							re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
__lowerCAmelCase        =							re.compile(R"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
__lowerCAmelCase        =							re.compile(R"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
__lowerCAmelCase        =							re.compile(R"^\s*if\s+not\s+is\_[a-z_]*\_available\(\)")
# Catches a line _import_struct["bla"].append("foo")
__lowerCAmelCase        =							re.compile(R"^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
__lowerCAmelCase        =							re.compile(R"^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]")
# Catches a line with an object between quotes and a comma:     "MyModel",
__lowerCAmelCase        =							re.compile(R"^\s+\"([^\"]+)\",")
# Catches a line with objects between brackets only:    ["foo", "bar"],
__lowerCAmelCase        =							re.compile(R"^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
__lowerCAmelCase        =							re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
__lowerCAmelCase        =							re.compile(R"^\s*try:")
# Catches a line with else:
__lowerCAmelCase        =							re.compile(R"^\s*else:")


def       __UpperCamelCase					(      lowercase_       :  str   ):
       """simple docstring"""




       if _re_test_backend.search(lowercase_   ) is None:
              return None
       a_						     =			[b[0] for b in _re_backend.findall(lowercase_   )]
       backends.sort()
       return "_and_".join(lowercase_   )


def       __UpperCamelCase					(      lowercase_       :  Optional[int]   ):
       """simple docstring"""




       with open(lowercase_   ,       'r'   ,       encoding='utf-8'   ,       newline='\n'   ) as f:
              a_						     =			f.readlines()

       a_						     =			0
       while line_index < len(lowercase_   ) and not lines[line_index].startswith('_import_structure = {'   ):
              line_index += 1

       # If this is a traditional init, just return.
       if line_index >= len(lowercase_   ):
              return None

       # First grab the objects without a specific backend in _import_structure
       a_						     =			[]
       while not lines[line_index].startswith('if TYPE_CHECKING'   ) and find_backend(lines[line_index]   ) is None:
              a_						     =			lines[line_index]
              # If we have everything on a single line, let's deal with it.
              if _re_one_line_import_struct.search(lowercase_   ):
                     a_						     =			_re_one_line_import_struct.search(lowercase_   ).groups()[0]
                     a_						     =			re.findall(R'\[([^\]]+)\]'   ,       lowercase_   )
                     for imp in imports:
                            objects.extend([obj[1:-1] for obj in imp.split(', '   )]   )
                     line_index += 1
                     continue
              a_						     =			_re_import_struct_key_value.search(lowercase_   )
              if single_line_import_search is not None:
                     a_						     =			[obj[1:-1] for obj in single_line_import_search.groups()[0].split(', '   ) if len(lowercase_   ) > 0]
                     objects.extend(lowercase_   )
              elif line.startswith(' ' * 8 + '"'   ):
                     objects.append(line[9:-3]   )
              line_index += 1

       a_						     =			{'none': objects}
       # Let's continue with backend-specific objects in _import_structure
       while not lines[line_index].startswith('if TYPE_CHECKING'   ):
              # If the line is an if not is_backend_available, we grab all objects associated.
              a_						     =			find_backend(lines[line_index]   )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]   ) is None:
                     a_						     =			None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]   ) is None:
                            line_index += 1

                     line_index += 1

                     a_						     =			[]
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(' ' * 4   ):
                            a_						     =			lines[line_index]
                            if _re_import_struct_add_one.search(lowercase_   ) is not None:
                                   objects.append(_re_import_struct_add_one.search(lowercase_   ).groups()[0]   )
                            elif _re_import_struct_add_many.search(lowercase_   ) is not None:
                                   a_						     =			_re_import_struct_add_many.search(lowercase_   ).groups()[0].split(', '   )
                                   a_						     =			[obj[1:-1] for obj in imports if len(lowercase_   ) > 0]
                                   objects.extend(lowercase_   )
                            elif _re_between_brackets.search(lowercase_   ) is not None:
                                   a_						     =			_re_between_brackets.search(lowercase_   ).groups()[0].split(', '   )
                                   a_						     =			[obj[1:-1] for obj in imports if len(lowercase_   ) > 0]
                                   objects.extend(lowercase_   )
                            elif _re_quote_object.search(lowercase_   ) is not None:
                                   objects.append(_re_quote_object.search(lowercase_   ).groups()[0]   )
                            elif line.startswith(' ' * 8 + '"'   ):
                                   objects.append(line[9:-3]   )
                            elif line.startswith(' ' * 12 + '"'   ):
                                   objects.append(line[13:-3]   )
                            line_index += 1

                     a_						     =			objects
              else:
                     line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
       a_						     =			[]
       while (
           line_index < len(lowercase_   )
           and find_backend(lines[line_index]   ) is None
           and not lines[line_index].startswith('else'   )
       ):
              a_						     =			lines[line_index]
              a_						     =			_re_import.search(lowercase_   )
              if single_line_import_search is not None:
                     objects.extend(single_line_import_search.groups()[0].split(', '   )   )
              elif line.startswith(' ' * 8   ):
                     objects.append(line[8:-2]   )
              line_index += 1

       a_						     =			{'none': objects}
       # Let's continue with backend-specific objects
       while line_index < len(lowercase_   ):
              # If the line is an if is_backend_available, we grab all objects associated.
              a_						     =			find_backend(lines[line_index]   )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]   ) is None:
                     a_						     =			None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]   ) is None:
                            line_index += 1

                     line_index += 1

                     a_						     =			[]
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(' ' * 8   ):
                            a_						     =			lines[line_index]
                            a_						     =			_re_import.search(lowercase_   )
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(', '   )   )
                            elif line.startswith(' ' * 12   ):
                                   objects.append(line[12:-2]   )
                            line_index += 1

                     a_						     =			objects
              else:
                     line_index += 1

       return import_dict_objects, type_hint_objects


def       __UpperCamelCase					(      lowercase_       :  List[str]   ,       lowercase_       :  Union[str, Any]   ):
       """simple docstring"""




       def find_duplicates(lowercase_       :  List[str]   ):
              return [k for k, v in collections.Counter(lowercase_   ).items() if v > 1]

       if list(import_dict_objects.keys()   ) != list(type_hint_objects.keys()   ):
              return ["Both sides of the init do not have the same backends!"]

       a_						     =			[]
       for key in import_dict_objects.keys():
              a_						     =			find_duplicates(import_dict_objects[key]   )
              if duplicate_imports:
                     errors.append(F'Duplicate _import_structure definitions for: {duplicate_imports}'   )
              a_						     =			find_duplicates(type_hint_objects[key]   )
              if duplicate_type_hints:
                     errors.append(F'Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}'   )

              if sorted(set(import_dict_objects[key]   )   ) != sorted(set(type_hint_objects[key]   )   ):
                     a_						     =			'base imports' if key == 'none' else F'{key} backend'
                     errors.append(F'Differences for {name}:'   )
                     for a in type_hint_objects[key]:
                            if a not in import_dict_objects[key]:
                                   errors.append(F'  {a} in TYPE_HINT but not in _import_structure.'   )
                     for a in import_dict_objects[key]:
                            if a not in type_hint_objects[key]:
                                   errors.append(F'  {a} in _import_structure but not in TYPE_HINT.'   )
       return errors


def       __UpperCamelCase					(      ):
       """simple docstring"""




       a_						     =			[]
       for root, _, files in os.walk(lowercase_   ):
              if "__init__.py" in files:
                     a_						     =			os.path.join(lowercase_   ,       '__init__.py'   )
                     a_						     =			parse_init(lowercase_   )
                     if objects is not None:
                            a_						     =			analyze_results(*lowercase_   )
                            if len(lowercase_   ) > 0:
                                   a_						     =			F'Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'
                                   failures.append('\n'.join(lowercase_   )   )
       if len(lowercase_   ) > 0:
              raise ValueError('\n\n'.join(lowercase_   )   )


def       __UpperCamelCase					(      ):
       """simple docstring"""




       a_						     =			[]
       for path, directories, files in os.walk(lowercase_   ):
              for folder in directories:
                     # Ignore private modules
                     if folder.startswith('_'   ):
                            directories.remove(lowercase_   )
                            continue
                     # Ignore leftovers from branches (empty folders apart from pycache)
                     if len(list((Path(lowercase_   ) / folder).glob('*.py'   )   )   ) == 0:
                            continue
                     a_						     =			str((Path(lowercase_   ) / folder).relative_to(lowercase_   )   )
                     a_						     =			short_path.replace(os.path.sep   ,       '.'   )
                     submodules.append(lowercase_   )
              for fname in files:
                     if fname == "__init__.py":
                            continue
                     a_						     =			str((Path(lowercase_   ) / fname).relative_to(lowercase_   )   )
                     a_						     =			short_path.replace('.py'   ,       ''   ).replace(os.path.sep   ,       '.'   )
                     if len(submodule.split('.'   )   ) == 1:
                            submodules.append(lowercase_   )
       return submodules


__lowerCAmelCase        =							[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]


def       __UpperCamelCase					(      ):
       """simple docstring"""




       from transformers.utils import direct_transformers_import

       a_						     =			direct_transformers_import(lowercase_   )

       a_						     =			set(transformers._import_structure.keys()   )
       # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
       # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
       # (potentiall re-) add them.
       with open(os.path.join(lowercase_   ,       '__init__.py'   )   ,       'r'   ) as f:
              a_						     =			f.read()
       import_structure_keys.update(set(re.findall(R'import_structure\[\"([^\"]*)\"\]'   ,       lowercase_   )   )   )

       a_						     =			[
           module
           for module in get_transformers_submodules()
           if module not in IGNORE_SUBMODULES and module not in import_structure_keys
       ]

       if len(lowercase_   ) > 0:
              a_						     =			'\n'.join(F'- {module}' for module in module_not_registered   )
              raise ValueError(
                  'The following submodules are not properly registed in the main init of Transformers:\n'
                  F'{list_of_modules}\n'
                  'Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'   )


if __name__ == "__main__":
  check_all_inits()
  check_submodules()












'''simple docstring'''







# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from packaging import version

from .. import __version__
from .constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, IMAGENET_STANDARD_MEAN, IMAGENET_STANDARD_STD
from .doc import (
    add_code_sample_docstrings,
    add_end_docstrings,
    add_start_docstrings,
    add_start_docstrings_to_model_forward,
    copy_func,
    replace_return_docstrings,
)
from .generic import (
    ContextManagers,
    ExplicitEnum,
    ModelOutput,
    PaddingStrategy,
    TensorType,
    add_model_info_to_auto_map,
    cached_property,
    can_return_loss,
    expand_dims,
    find_labels,
    flatten_dict,
    infer_framework,
    is_jax_tensor,
    is_numpy_array,
    is_tensor,
    is_tf_symbolic_tensor,
    is_tf_tensor,
    is_torch_device,
    is_torch_dtype,
    is_torch_tensor,
    reshape,
    squeeze,
    strtobool,
    tensor_size,
    to_numpy,
    to_py_obj,
    transpose,
    working_or_temp_dir,
)
from .hub import (
    CLOUDFRONT_DISTRIB_PREFIX,
    DISABLE_TELEMETRY,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_PREFIX,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    PYTORCH_PRETRAINED_BERT_CACHE,
    PYTORCH_TRANSFORMERS_CACHE,
    S3_BUCKET_PREFIX,
    TRANSFORMERS_CACHE,
    TRANSFORMERS_DYNAMIC_MODULE_NAME,
    EntryNotFoundError,
    PushToHubMixin,
    RepositoryNotFoundError,
    RevisionNotFoundError,
    cached_file,
    default_cache_path,
    define_sagemaker_information,
    download_url,
    extract_commit_hash,
    get_cached_models,
    get_file_from_repo,
    get_full_repo_name,
    has_file,
    http_user_agent,
    is_offline_mode,
    is_remote_url,
    move_cache,
    send_example_telemetry,
    try_to_load_from_cache,
)
from .import_utils import (
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    TORCH_FX_REQUIRED_VERSION,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    _LazyModule,
    ccl_version,
    direct_transformers_import,
    get_torch_version,
    is_accelerate_available,
    is_apex_available,
    is_bitsandbytes_available,
    is_bsa_available,
    is_coloredlogs_available,
    is_cython_available,
    is_datasets_available,
    is_decord_available,
    is_detectrona_available,
    is_faiss_available,
    is_flax_available,
    is_ftfy_available,
    is_in_notebook,
    is_ipex_available,
    is_jieba_available,
    is_jumanpp_available,
    is_kenlm_available,
    is_keras_nlp_available,
    is_librosa_available,
    is_natten_available,
    is_ninja_available,
    is_onnx_available,
    is_openai_available,
    is_optimum_available,
    is_pandas_available,
    is_peft_available,
    is_phonemizer_available,
    is_protobuf_available,
    is_psutil_available,
    is_pyanvml_available,
    is_pyctcdecode_available,
    is_pytesseract_available,
    is_pytest_available,
    is_pytorch_quantization_available,
    is_rjieba_available,
    is_sacremoses_available,
    is_safetensors_available,
    is_sagemaker_dp_enabled,
    is_sagemaker_mp_enabled,
    is_scipy_available,
    is_sentencepiece_available,
    is_seqio_available,
    is_sklearn_available,
    is_soundfile_availble,
    is_spacy_available,
    is_speech_available,
    is_sudachi_available,
    is_tensorflow_probability_available,
    is_tensorflow_text_available,
    is_tfaonnx_available,
    is_tf_available,
    is_timm_available,
    is_tokenizers_available,
    is_torch_available,
    is_torch_bfaa_available,
    is_torch_bfaa_cpu_available,
    is_torch_bfaa_gpu_available,
    is_torch_compile_available,
    is_torch_cuda_available,
    is_torch_fx_available,
    is_torch_fx_proxy,
    is_torch_mps_available,
    is_torch_neuroncore_available,
    is_torch_tensorrt_fx_available,
    is_torch_tfaa_available,
    is_torch_tpu_available,
    is_torchaudio_available,
    is_torchdistx_available,
    is_torchdynamo_available,
    is_torchvision_available,
    is_training_run_on_sagemaker,
    is_vision_available,
    requires_backends,
    torch_only_method,
)


__lowerCAmelCase        =							"pytorch_model.bin"
__lowerCAmelCase        =							"pytorch_model.bin.index.json"
__lowerCAmelCase        =							"adapter_config.json"
__lowerCAmelCase        =							"adapter_model.bin"
__lowerCAmelCase        =							"adapter_model.safetensors"
__lowerCAmelCase        =							"tf_model.h5"
__lowerCAmelCase        =							"tf_model.h5.index.json"
__lowerCAmelCase        =							"model.ckpt"
__lowerCAmelCase        =							"flax_model.msgpack"
__lowerCAmelCase        =							"flax_model.msgpack.index.json"
__lowerCAmelCase        =							"model.safetensors"
__lowerCAmelCase        =							"model.safetensors.index.json"
__lowerCAmelCase        =							"config.json"
__lowerCAmelCase        =							"preprocessor_config.json"
__lowerCAmelCase        =							FEATURE_EXTRACTOR_NAME
__lowerCAmelCase        =							"generation_config.json"
__lowerCAmelCase        =							"modelcard.json"

__lowerCAmelCase        =							"▁"
__lowerCAmelCase        =							SENTENCEPIECE_UNDERLINE  # Kept for backward compatibility

__lowerCAmelCase        =							[
    [[0, 1, 0, 1], [1, 0, 0, 1]]
] * 2  # Needs to have 0s and 1s only since XLM uses it for langs too.
__lowerCAmelCase        =							[[7, 6, 0, 0, 1], [1, 2, 3, 0, 0], [0, 0, 0, 4, 5]]
__lowerCAmelCase        =							[[1, 1, 1, 1, 1], [1, 1, 1, 0, 0], [0, 0, 0, 1, 1]]


def       __UpperCamelCase					(      lowercase_       :  Optional[int]   ):
       """simple docstring"""




       if version.parse(lowercase_   ) < version.parse(lowercase_   ):
              if "dev" in min_version:
                     a_						     =			(
                         'This example requires a source install from HuggingFace Transformers (see '
                         '`https://huggingface.co/docs/transformers/installation#install-from-source`),'
                     )
              else:
                     a_						     =			F'This example requires a minimum version of {min_version},'
              error_message += F' but the version found is {__version__}.\n'
              raise ImportError(
                  error_message
                  + 'Check out https://github.com/huggingface/transformers/tree/main/examples#important-note for the examples corresponding to other '
                  'versions of HuggingFace Transformers.'   )




